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Experience with Spark ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services. Experience with ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Hands-on experience working with Hadoop, Hive, Pig, Map Reduce, Spark, Rabbit MQ, Kafka, Flume. This engineer will assume wide-ranging projects regarding ETL, migration of processes and services from on-premises to cloud environments, Artificial Intelligence/Machine Learning (AI/ML), machine translation, and similar efforts.
$195,374.41 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc.
$183,300 a yearExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Spark, the Spark ecosystem, and related tools like Databricks and Azure Synapse Notebooks. Snowflake, including ETL, performance tuning, and cost optimization.
$140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Demonstrated proficiency supporting advancing analytics with more than one of these technologies: Experience with modern programming languages such as Java, Python, Spark, Scala, JavaScript/JSON Experience using SQL and ETL Experience working with Databricks Experience with Jupyter Notebooks.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Top Skills: Secret clearance local to DC, 3 years of experience, ETL, Databricks, Python/Spark/Scala, Bachelors’ Degree. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Role Title Databricks ETL Developer Start Date for assignment 10/01/2024 End Date for assignment 06/30/2025 # of Resources Needed 1 Hours per Week 40 Job Description This work is Sold Unsold. Experience with cloud platforms (e.g., AWS) and big data technologies (e.g., Databricks, Spark.
TemporaryExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficient in designing and implementing data integration processes in a large, distributed environment using cloud services e.g., Azure Event Hub, Data Factory, Data Catalog, Databricks, Stream Analytics, Apache Spark.
Full-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
$164,600 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Design and implement efficient ETL processes to ingest, transform, and load data into our Snowflake-based data warehouse. Proven experience (5+ years) in data engineering, with a focus on data warehousing, ETL, and data modeling.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with some or all of our tech stack: Node.js, Python, Scala, Spark, Airflow, and AWS (including Lambda, EMR, ECS and Kinesis) We own “Loading Dock,” an internal ETL tool that processes petabytes of data per day.
$205,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Implement complex data operations using Python, Java, Spark, and SQL, optimizing ETL/ELT processes for performance and efficiency. This position involves leveraging advanced analytics tools to enhance the organization's analytics platform, collaborating with both business and technical teams to design data solutions that align with strategic goals, and implementing complex data operations with Python, Java, Spark, and SQL. Additionally, you'll manage data across various platforms using cloud services, big data technologies, and non-relational databases to ensure seamless data integration and accessibility.
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Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Data Integration Engineer -TS/SCI. Perform Database builds, installs, configuration, administration, and troubleshooting of database systems (e.g., MariaDB/MySQL, Postgres, Elasticsearch, Qdrant, Milvus, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago
spark etl jobs in Glen Echo, MD
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